The Lie Detector: Explorations in the Automatic Recognition of Deceptive Language Metadata
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- Main Title The Lie Detector: Explorations in the Automatic Recognition of Deceptive Language
Author: Mihalcea, Rada, 1974-Creator Type: PersonalCreator Info: University of North Texas
Author: Strapparava, Carlo, 1962-Creator Type: PersonalCreator Info: Fondazione Bruno Kessler (FBK)-IRST
Organizer of meeting: Association for Computational LinguisticsContributor Type: Organization
- Creation: 2009
- Content Description: This paper discusses explorations in the automatic recognition of deceptive language.
- Physical Description: 4 p.
- Keyword: automatic classifications
- Keyword: feature analysis
- Keyword: deceptive texts
- Conference: Forty-Seventh Annual Meeting of the Association for Computational Linguistics (ACL), 2009, Singapore
Name: UNT Scholarly WorksCode: UNTSW
Name: UNT College of EngineeringCode: UNTCOE
- Rights Access: public
- Archival Resource Key: ark:/67531/metadc31019
- Academic Department: Computer Science and Engineering
- Display Note: Abstract: In this paper, we present initial experiments in the recognition of deceptive language. We introduce three data sets of true and lying texts collected for this purpose, and the authors show that automatic classification is a viable technique to distinguish between truth and falsehood as expressed in language. We also introduce a method for class-based feature analysis, which sheds some light on the features that are characteristic for deceptive text.